• Academics
    • Who’s Teaching What
    • Subject Updates
    • Undergraduate programs
      • Curriculum
      • MEng program
      • Opportunities
      • Minor in Computer Science
      • Resources for Current Students
      • Program objectives and accreditation
    • Graduate programs
      • Graduate program requirements
      • Admission process
      • Degree programs
      • Graduate research
      • EECS Graduate Funding
      • Resources for current students
      • Student profiles
  • People
    • Leadership
    • Staff
    • Instructors
  • Community & Equity
    • Diversity, Equity, and Inclusion
      • DEI data and documents
      • Recruitment and outreach
      • Community and resources
      • Get involved / self-education
    • Rising Stars in EECS
    • Graduate Application Assistance Program (GAAP)
    • MIT Summer Research Program (MSRP)
    • Sloan-MIT University Center for Exemplary Mentoring (UCEM)
    • Thriving Stars at EECS
      • Our Events
  • Research
    • Electrical Engineering
    • Computer Science
    • Artificial Intelligence + Decision-making
    • Explore all research areas
      • AI and Society
      • AI for Healthcare and Life Sciences
      • Artificial Intelligence and Machine Learning
      • Biological and Medical Devices and Systems
      • Communications Systems
      • Computational Biology
      • Computational Fabrication and Manufacturing
      • Computer Architecture
      • Educational Technology
      • Electronic, Magnetic, Optical and Quantum Materials and Devices
      • Energy
      • Graphics and Vision
      • Human-Computer Interaction
      • Information Science and Systems
      • Integrated Circuits and Systems
      • Nanoscale Materials, Devices, and Systems
      • Natural Language and Speech Processing
      • Optics + Photonics
      • Optimization and Game Theory
      • Programming Languages and Software Engineering
      • Quantum Computing, Communication, and Sensing
      • Robotics
      • Security and Cryptography
      • Signal Processing
      • Systems and Networking
      • Systems Theory, Control, and Autonomy
      • Theory of Computation
  • News & Events
    • News
    • Events
  • About
    • Departmental History
    • Departmental Organization
    • Visiting Committee
  • Contact
  • Engage
    • EECS Alliance
    • 6A Program
    • Alumni
    • Giving
    • Career Opportunities at EECS
    • Share opportunities with our students
MIT EECS Logo
MIT EECS
  • Electrical
    Engineering
  • Computer
    Science
  • Artificial Intelligence +
    Decision-making
  • Contact
  • Engage
    • EECS Alliance
    • 6A Program
    • Alumni
    • Giving
    • Career Opportunities at EECS
    • Share opportunities with our students
  • MENU
  • Academics
    • Who's Teaching What
    • Subject Updates
    • IAP Offerings
    • EECS Communication Lab
    • Undergraduate programs
    • Curriculum
    • MEng program
    • Opportunities
    • Minor in Computer Science
    • Resources for current students
    • Program objectives and accreditation
    • Graduate programs
    • Graduate program requirements
    • Admission process
    • Degree programs
    • Graduate research
    • Funding
    • Resources for current students
    • Student profiles
  • Research
    • Electrical Engineering

      Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.

    • Computer Science

      Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.

    • Artificial Intelligence + Decision-making

      Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.

    • Explore all research areas
  • People
    • Faculty Directory
    • Leadership
    • Staff
    • Instructors
  • Community & Equity
    • Diversity, Equity, and Inclusion
    • DEI data and documents
    • About us and contact
    • Recruitment and outreach
    • Community and resources
    • Get involved / self-education
    • Rising Stars in EECS
    • Graduate Application Assistance Program (GAAP)
    • MIT Summer Research Program (MSRP)
    • Sloan-MIT University Center for Exemplary Mentoring (UCEM)
    • Thriving Stars
  • News & Events
    • News
    • Events
  • About
    • Departmental History
    • Departmental Organization
    • Visiting Committee
  • Home
  • People

Bruce Tidor

  • People
  • Faculty
  • Faculty AI+D
  • Faculty CS
  • Faculty EE
  • Faculty Emeritus
  • Lecturers
  • Leadership
  • Staff
  • Instructors

Professor of EECS; Professor of Biological Engineering, [AI+D]

tidor@mit.edu
(617) 253-7258
Office: 32-212
Website
Research Areas
  • AI for Healthcare and Life Sciences
  • Biological and Medical Devices and Systems
Back to top
MIT Electrical Engineering &
Computer Science Department
77 Massachusetts Ave.
Room 38-401
Cambridge, MA 02139
  • EECS INTERNAL RESOURCES
  • Admin Login
  • Accessibility
  • Linkedin
  • Facebook
  • Twitter

© 2024 Massachusetts Institute of Technology

MIT Schwarzman College of Computing MIT Schwarzman College of Computing
Electrical Engineering and Computer Science Electrical Engineering and Computer Science